Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach

Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz, Yasser Shoukry. Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach. In 60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021. pages 2963-2968, IEEE, 2021. [doi]

@inproceedings{SunFCS21,
  title = {Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach},
  author = {Xiaowu Sun and Wael Fatnassi and Ulices Santa Cruz and Yasser Shoukry},
  year = {2021},
  doi = {10.1109/CDC45484.2021.9683009},
  url = {https://doi.org/10.1109/CDC45484.2021.9683009},
  researchr = {https://researchr.org/publication/SunFCS21},
  cites = {0},
  citedby = {0},
  pages = {2963-2968},
  booktitle = {60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3659-5},
}